Determine the Influence of Academic Research Base on Social network analysis

DOI

10.2991/icmii-15.2015.128How to use a DOI?

Keywords

Social network analysis; Networks’ properties; Measure of Influence

Abstract

One way to determine the influence of academic research is to build co-author networks. Co-authoring usually means strong link between researchers. A typical example is Paul Erdös. We have to discuss the following problem. In this paper, we should build a co-author networks from the file Erdos1, which includes 511 researchers but do not include Erdös. Then we obtain the correct set of nodes (the Erdös coauthors) and their links (connections with one another as co-authors). We need calibrate our model by limiting the size of the co-author networks. Once built, we analyze the properties of this network, which includes Problem 2 mentioned that selecting the most influential researchers in file Erdos1.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhihui Yang
AU  - Cunbin Zhu
PY  - 2015/10
DA  - 2015/10
TI  - Determine the Influence of Academic Research Base on Social network analysis
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 740
EP  - 744
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.128
DO  - 10.2991/icmii-15.2015.128
ID  - Yang2015/10
ER  -